Helios AI
AI-driven platform providing supply, climate, and price forecasting for soft commodities to procurement and trading teams.
Website: https://www.helios.sc/
PUBLIC
| Field | Details |
|---|---|
| Name | Helios AI |
| Tagline | AI-driven platform providing supply, climate, and price forecasting for soft commodities to procurement and trading teams. |
| Headquarters | Tysons, VA, United States |
| Founded | 2022 |
| Stage | Series A |
| Business Model | SaaS |
| Industry | Agtech |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Series A (total disclosed ~$4,700,000) |
Links
PUBLIC
- Website: https://www.helios.sc/
- LinkedIn: https://www.linkedin.com/company/helios-sc
Executive Summary
PUBLIC
Helios AI sells a software platform that uses machine learning to forecast supply, climate, and price risks for agricultural commodities, a bet that data integration can create a defensible wedge in a sector historically slow to adopt predictive tools [YouTube, March 2024]. Founded in 2022, the company has built a product suite, Helios Horizon, that aggregates billions of data points to model risks across 75 commodities in 90 countries, aiming to serve procurement teams at food processors and traders [The Company Check, 2025]. The founding team brings technical credibility, with a CTO who was an AI/ML engineer at Google and a CEO with a background in consulting and fintech [Integrity Research, 2026].
Its recent $4.7 million Series A round, closed in September 2025, signals investor validation for its SaaS approach to a complex, high-stakes forecasting problem [The Company Check, 2025]. The company's primary challenge in the near term will be proving its self-reported claims of forecast accuracy, which it states are up to five times better than traditional benchmarks, through independent validation and named customer deployments [Helios AI, Blog, 2026]. Over the next 12-18 months, investors should watch for evidence of renewal motion beyond early adopters and the operational scaling of its announced partnership with Walmart [The Packer, 2026].
Data Accuracy: YELLOW -- Core company facts and funding amount are confirmed by a single public database; team backgrounds and product claims are corroborated by company materials and secondary reporting.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Series A |
| Business Model | SaaS |
| Industry / Vertical | Agtech |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Series A (total disclosed ~$4,700,000) |
Company Overview
PUBLIC
Helios AI incorporated in 2022, emerging from the Washington, D.C. area with a focus on applying machine learning to a historically opaque and volatile sector: agricultural commodity trading. The company's founding premise, as presented in a 2024 product demonstration, was that procurement teams and traders needed a unified view of climate and economic risks to make better purchasing decisions, a capability it claimed was absent from the market [YouTube, March 2024]. Its operational headquarters are listed at 1775 Tysons Boulevard in Tysons, Virginia [Crunchbase].
The founding team consists of CEO Francisco Martin-Rayo and CTO Eden Canlilar. Martin-Rayo's background includes roles at Deep Labs and Boston Consulting Group, while Canlilar previously worked as an AI/ML engineer at Google and was a recipient of the 2021 Emerging Technologist Abie Award [Integrity Research, 2026]. The company's first major public milestone was the detailed presentation of its platform capabilities in March 2024, forecasting for 75 commodities across 90 countries [YouTube, March 2024]. This was followed by the launch of its Helios 2.0 AI platform and the announcement of a partnership with Walmart in 2026 [Helios AI, Blog] [The Packer, 2026]. A significant financial milestone was reached in September 2025 with the closing of a $4.7 million Series A round [The Company Check, 2025].
Data Accuracy: YELLOW -- Core facts (founding year, HQ, founders, recent funding round) are confirmed by multiple sources, but some biographical details are sourced from a single research publication.
Product and Technology
MIXED The core of Helios AI's proposition is a suite of decision-support tools that attempt to synthesize disparate risk signals into actionable commodity forecasts. The company's public materials describe a platform that aggregates billions of data points to provide a real-time view of climate and economic risks affecting soft commodities across 90 countries [YouTube, March 2024]. The primary interface appears to be Helios Horizon, which the company has branded as the first-ever AI Copilot for agri-food supply chains [citybiz, 2025]. In a 2024 demonstration, a company representative framed the system as a multi-agent AI, where specialized modules for climate, economic, news, and geopolitical risk can be queried to generate specific purchasing recommendations on when, how much, and where to buy [YouTube, March 2024]. This suggests a product architecture designed to answer direct operational questions rather than just present raw data.
Beyond the interactive copilot, the company offers two other named products. The CommodiTrack Platform and Global Commodity Reports provide more structured outputs. The reports, in particular, are claimed to predict large shifts in futures prices for exchange-traded commodities weeks to months in advance with up to 90% accuracy [Helios AI, Global Commodity Reports, 2026]. A key performance claim, repeated across multiple recent sources, is that Helios AI's price forecasts are up to 5 times more accurate than current industry benchmarks that rely on seasonality and basic supply-demand inputs [Food Ingredients First, 2026]. This accuracy differential is presented as the central wedge, though it remains a self-reported metric without independent, third-party validation. The platform's scope is defined by coverage of 75 agricultural commodities, a figure consistently cited in early materials [YouTube, March 2024].
Technical details on the underlying model architecture or data pipelines are not publicly disclosed. However, inferences can be drawn from team backgrounds and a single open role. The CTO, Eden Canlilar, is a former AI/ML engineer at Google and award recipient, pointing to deep technical expertise in machine learning systems [Integrity Research, 2026]. A recent job posting sought a Lead Frontend Engineer with experience in Next.js, React, and TypeScript, indicating a modern, web-based application stack focused on performance and scalability [Helios-RS, 2026]. [PUBLIC] The company has also announced a partnership with Walmart, though the specific technological integration or product surface involved has not been detailed [The Packer, 2026]. [PRIVATE] The lack of a published roadmap or detailed technical whitepapers means the sophistication of the proprietary models and the defensibility of the data aggregation process must be assessed through direct diligence.
Data Accuracy: YELLOW -- Product features and claims are sourced from company demonstrations and press, but key performance metrics (e.g., 5x accuracy) are unverified. Technical stack is partially inferred.
Market Research
PUBLIC
The market for agricultural intelligence is expanding as climate volatility and supply chain fragility force procurement teams to seek more sophisticated, forward-looking tools.
Total market sizing for AI-driven agricultural forecasting is not publicly detailed by third-party analysts for Helios AI's specific niche. However, the broader context is instructive. The global market for agricultural analytics, which includes forecasting and risk management, was valued at $1.2 billion in 2022 and is projected to grow at a compound annual rate of 16.5% through 2032, according to a report from Allied Market Research [Allied Market Research, 2023]. This analogous market suggests a significant and growing addressable space for tools that promise to reduce uncertainty. The serviceable market for Helios AI is narrower, targeting procurement and trading teams within food processors, manufacturers, and commodity traders who manage soft commodities. A comparable report on the precision agriculture market, which shares some underlying data and AI infrastructure needs, estimates a total addressable market of $9.8 billion by 2027, growing from $6.3 billion in 2022 [MarketsandMarkets, 2022]. While not a direct proxy, these figures indicate the scale of investment flowing into agricultural technology and data solutions.
Demand is driven by several converging tailwinds. Climate change is a primary catalyst, increasing the frequency and severity of weather events that disrupt crop yields and supply routes. Geopolitical tensions and trade policy shifts further complicate sourcing strategies, creating a need for real-time risk monitoring beyond traditional market reports. On the buyer side, corporate sustainability and procurement goals are pushing large enterprises to better understand and mitigate climate-related risks in their supply chains, a pressure that often originates from investors and consumers. These factors collectively elevate the strategic importance of procurement from a cost-center function to a critical risk-management operation, justifying investment in predictive software.
Key adjacent markets include traditional commodity brokerage and advisory services, weather forecasting, and broader supply chain management software. These are not direct substitutes but represent established spending pools that an AI platform could partially displace or augment. Regulatory forces are also shaping demand, particularly in regions like the European Union, where upcoming due diligence regulations will require large companies to identify and address environmental risks in their value chains. This regulatory push could accelerate adoption of tools that provide auditable, data-driven insights into supply chain vulnerabilities.
Agricultural Analytics Market 2022 | 1.2 | $B
Precision Agriculture Market 2022 | 6.3 | $B
Precision Agriculture Market 2027 | 9.8 | $B
The projected growth rates in adjacent markets suggest a receptive environment for a specialized forecasting tool, though the specific serviceable obtainable market for Helios AI remains unquantified in public sources. The company's success will depend on its ability to capture a meaningful share of the budget currently allocated to traditional advisory services and manual analysis within its target customer segments.
Data Accuracy: YELLOW -- Market sizing is based on analogous, broader industry reports, not a dedicated analysis of the forecasting niche. Growth drivers are widely cited in sector coverage.
Competitive Landscape
MIXED
Helios AI's positioning is defined by its attempt to integrate climate and price forecasting for soft commodities into a single, queryable interface, a combination not widely offered by established players.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Helios AI | AI-driven supply, climate, and price forecasting for soft commodity procurement and trading. | Series A (~$4.7M) [PUBLIC] | Combines climate risk and price forecasting in a single multi-agent AI interface (Helios Horizon). | [YouTube, March 2024]; [The Company Check, 2025] |
| ClimateAI | Climate resilience and risk analytics platform for agriculture and supply chains. | Series B ($22M) [PUBLIC] | Deep specialization in climate modeling and physical risk assessment for enterprise agriculture. | [Crunchbase] |
| Cropin | AI and data-led agriculture intelligence platform for farms and supply chains. | Growth stage ($92M+ total funding) [PUBLIC] | Broad platform with farm-level digitization, traceability, and predictive insights for agribusinesses. | [Crunchbase] |
The competitive map for agricultural intelligence splits along functional lines. On one side are climate risk specialists like ClimateAI, which focus on modeling physical hazards such as drought and floods. On the other are broader agri-intelligence platforms like Cropin, which offer farm management and supply chain digitization with predictive analytics layered on top. Helios AI sits between these, targeting a narrower user persona,the procurement officer or commodity trader,with a tool designed to answer specific purchasing questions. Adjacent substitutes include traditional commodity brokers, in-house analytics teams at large agribusinesses, and the fundamental supply/demand models used by trading desks, all of which represent entrenched, non-software competition.
Helios AI's current edge appears to be its proprietary data aggregation and model integration. The company claims to process billions of data points across climate, economic, news, and geopolitical signals to produce forecasts for 75 commodities in 90 countries [YouTube, March 2024]. This breadth of real-time, global coverage, combined with a queryable "AI copilot" interface, is its primary product differentiator. The technical co-founding background, with prior experience at Google and Deep Labs, suggests a talent edge in AI/ML engineering [Integrity Research, 2026]. However, this edge is perishable. It relies on continuous data ingestion and model refinement; any slowdown in investment could erode forecast accuracy. Furthermore, the data moat is only as strong as the exclusivity of its sources, which are often a mix of public and commercial feeds that competitors can also access.
The company's most significant exposure is its narrow focus on the pre-trade procurement decision. This leaves it vulnerable to expansion by the broader platforms. A company like Cropin, with established relationships across the farm-to-retail value chain, could decide to build or acquire similar forecasting capabilities, leveraging its deeper integration with upstream operations. Conversely, Helios AI does not own the channel to the farm or the trading desk; its go-to-market must be a direct sales motion to mid-level procurement teams, a challenging and expensive endeavor for a Series A company. Its claimed accuracy advantages,5x better than benchmarks,are also self-reported and lack independent, third-party verification, making them a potential point of vulnerability in competitive sales cycles [YouTube, March 2024]; [Food Ingredients First, 2026].
The most plausible 18-month scenario is one of segmentation. The winner will be the company that successfully embeds its tool into the daily workflow of a critical mass of procurement teams at major food processors or traders. For Helios AI, a win looks like expanding its reported partnership with Walmart into a deeper, multi-year enterprise contract that validates its accuracy claims [The Packer, 2026]. The loser in this scenario would be a pure-play climate analytics firm that fails to expand its product suite into actionable price forecasts, leaving it as a niche risk assessment tool rather than a core decision-support system. The competitive risk for Helios is not immediate displacement but gradual envelopment by a better-funded platform with a broader suite.
Data Accuracy: YELLOW -- Competitor funding and positioning are confirmed via Crunchbase; Helios AI's differentiators are sourced from its own materials and a third-party profile.
Opportunity
PUBLIC The prize for Helios AI is a dominant position in the multi-billion-dollar market for agricultural supply chain intelligence, where its AI-driven forecasts could become the de facto standard for procurement and trading decisions.
The headline opportunity is for Helios AI to evolve from a specialized forecasting tool into the category-defining platform for global soft commodity risk management. The company's early positioning as the first to integrate climate and price forecasting for agriculture into a single interface [YouTube, March 2024] provides a foundational wedge. If it can consistently deliver on its claimed accuracy improvements,its price forecasts are reported to be up to five times more accurate than traditional benchmarks [Food Ingredients First, 2026],it could become the default intelligence layer for a sector where small percentage gains in forecast accuracy translate directly into millions in procurement savings. The partnership with Walmart [The Packer, 2026] serves as a critical proof point, demonstrating that a major, sophisticated buyer of agricultural commodities sees value in the platform. This validation makes the outcome of becoming a category leader reachable, not merely aspirational.
Growth will likely follow one of several concrete paths. The scenarios below outline plausible, high-scale trajectories supported by the company's current trajectory and market dynamics.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Enterprise Land-and-Expand | Helios Horizon becomes the mandated forecasting tool for procurement across a major food conglomerate, then expands to adjacent teams (sustainability, risk). | A multi-year enterprise contract with a top-10 global food processor, announced within 18 months. | The Walmart partnership establishes a beachhead with a demanding buyer [The Packer, 2026]. The platform's coverage of 75 commodities across 90 countries provides the breadth needed for a global account [YouTube, March 2024]. |
| Embedded Intelligence API | The company's forecasting models are licensed as an API and embedded directly into the workflows of commodity trading platforms and ERP systems. | A strategic partnership or integration with a major commodity trading or agribusiness software provider. | The product is already described as an AI Copilot with a queryable interface [citybiz, 2025], suggesting an architecture conducive to API access. The focus on decision-support aligns with embedded B2B use cases. |
| Regulatory & ESG Standard | Helios's climate-risk data and reporting become part of the compliance and disclosure framework for agri-food companies facing new sustainability regulations. | A major agricultural industry body or regulator references Helios's methodology in a guidance document. | The platform explicitly integrates climate risk signals with economic data [YouTube, March 2024], directly addressing the growing demand for ESG-linked supply chain transparency. |
Compounding for Helios AI would manifest as a data and distribution flywheel. Each new enterprise customer, particularly a large buyer like Walmart, would generate proprietary procurement data and feedback loops that could be used to further refine forecast models. More accurate models would attract more customers, who would in turn contribute more diverse data, creating a classic data moat. Evidence that this flywheel is starting includes the launch of Helios 2.0, described as a "drastically improved" platform based on learnings [Helios AI, Blog], and the expansion of forecast accuracy claims from 5-20x [YouTube, March 2024] to a more consistent "up to 5x" in later communications [Food Ingredients First, 2026], which may reflect model iteration.
Quantifying the size of the win requires looking at comparable companies. While pure-play agricultural forecasting platforms are rare, companies like ClimateAI, a competitor in climate risk analytics, have raised significant venture capital, indicating investor appetite for the sector. A more direct benchmark might be the value of accurate commodity forecasting to the industry itself. For a single large food company, optimizing a multi-billion-dollar annual commodity spend by even a low single-digit percentage can yield savings in the tens of millions. If Helios AI captured a fraction of that value as revenue from a broad customer base, it could support a valuation well into the hundreds of millions. In a successful Enterprise Land-and-Expand scenario, capturing 5-10 major global accounts, the company could plausibly reach a valuation comparable to other high-growth, data-intensive SaaS platforms in adjacent sectors (scenario, not a forecast).
Data Accuracy: YELLOW -- Growth scenarios are plausible extrapolations based on cited product capabilities and one named partnership; specific catalysts and comparable valuations are not publicly confirmed.
Sources
PUBLIC
[YouTube, March 2024] Helios taps AI to power forecasting platform for soft commodities | https://www.youtube.com/watch?v=p64CMQ4gyZY
[The Company Check, 2025] Helios AI , Company Profile | https://www.thecompanycheck.com/company/b/helios-ai/4xx2quzfkzgig9xd0
[Integrity Research, 2026] Helios AI Launches Global Soft Commodities Supply and Pricing Tool • Integrity Research | https://www.integrity-research.com/helios-ai-launches-global-soft-commodities-supply-and-pricing-tool/
[Crunchbase] Helios Artificial Intelligence - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/helios-artificial-intelligence
[citybiz, 2025] Helios AI Raises $4.7M, Launches AI Co-Pilot for Food Supply Chains | https://www.thepacker.com/news/industry/helios-ai-raises-4-7m-launches-ai-co-pilot-food-supply-chains
[Helios AI, Blog] Helios 2.0 is a drastically improved version of its AI platform that helps predict and mitigate agricultural supply disruptions | https://www.helios.sc/
[Helios AI, Global Commodity Reports, 2026] Global Commodity Reports predict large shifts in futures prices for exchange-traded commodities weeks to months in advance with up to 90% accuracy | https://www.helios.sc/
[Food Ingredients First, 2026] Helios AI's price forecasts are up to 5 times more accurate than current industry benchmarks that traditionally use only seasonality and basic supply/demand inputs | https://www.helios.sc/
[The Packer, 2026] Helios AI has a partnership with Walmart | https://www.thepacker.com/news/industry/helios-ai-raises-4-7m-lunches-ai-co-pilot-food-supply-chains
[Helios-RS, 2026] We’re Hiring! Join Us in Building the "Earth Intelligence Infrastructure" to Predict the Future | https://www.helios-rs.com/post/wantedly-en
[Allied Market Research, 2023] Agricultural Analytics Market Report | https://www.alliedmarketresearch.com/agricultural-analytics-market
[MarketsandMarkets, 2022] Precision Agriculture Market Report | https://www.marketsandmarkets.com/Market-Reports/precision-farming-market-1243.html
Articles about Helios AI
- Helios AI's Walmart Deal Tests a Copilot for the Global Strawberry Patch — The $4.7 million Series A funds a push to combine climate and price forecasts for 75 commodities, aiming to replace spreadsheets and gut calls.